Intellectual Property India Publishes Patent Application for Veriscape – Ai-Powered Learning And Discovery With Tokenized Validation

MUMBAI, India, June 30 -- Intellectual Property India has published a patent application (202641073712 A) filed by Dr. Saroja Kumar Rout; Mr. Sovan Bhakta; Mr. Shriyansh Chandra; Mr. Arunesh Bhatt; Mr. Javvaji Maneeshwar Venkata Naga Sai; Mr. Gopesh Pandey; Dr. E. Ravi Kumar; Dr. Ganesh Bhaiyya Regulwar; Mr. Bijaya Kumar Sethi; and Dr. Prakash Kumar Sarangi on June 13, 2026, for Veriscape – Ai-Powered Learning And Discovery With Tokenized Validation.

Inventors include Dr. Saroja Kumar Rout; Mr. Sovan Bhakta; Mr. Shriyansh Chandra; Mr. Arunesh Bhatt; Mr. Javvaji Maneeshwar Venkata Naga Sai; Mr. Gopesh Pandey; Dr. E. Ravi Kumar; Dr. Ganesh Bhaiyya Regulwar; Mr. Bijaya Kumar Sethi; and Dr. Prakash Kumar Sarangi.

The application for the patent was published on June 26, 2026, under issue no. 26/2026.

Abstract: Title of the Invention: VeriScape – AI-Powered Learning and Discovery with Tokenized Validation Abstract: The present invention relates to a computer-implemented system and method for guided knowledge discovery, validation, and preservation using artificial intelligence and cloud-native infrastructure. The system provides users with dynamically generated discovery tasks based on contextual parameters including user preferences and location. Users submit evidence of task completion in the form of digital content, which is processed through an automated verification pipeline. The verification pipeline employs rule-based validation, artificial intelligence– assisted content analysis, and metadata consistency checks to determine the authenticity and relevance of submitted discoveries. Verified submissions are persistently stored with structured metadata in a managed relational database and associated secure object storage. Event-driven backend mechanisms automatically manage state transitions, attribution, and indexing of verified discoveries. The system further maintains a continuously growing, structured atlas of validated discoveries that can be queried, visualized, and reused across educational, community, and exploratory applications. By integrating intelligent task generation, automated verification, and persistent attribution within a scalable cloud-based architecture, the invention enables reliable user-driven discovery while ensuring data integrity, traceability, and long- term preservation.

Disclaimer: Curated by HT Syndication.